Apache Superset Data Visualization

Apache Superset is an open-source data exploration and visualization platform for modern data analytics and business intelligence. Originally developed at Airbnb in 2015 by Maxime Beauchemin, donated to the Apache Software Foundation in 2016, graduated to Top-Level Project status in January 2021. Used by organizations including Airbnb, Lyft, Slack, Twitter, and Neustar. Key features: SQL IDE: powerful SQL editor with syntax highlighting, autocomplete, and query history. Connect to any SQL-compatible database. Data exploration: no-code visual data exploration through intuitive interface. Create charts, filters, and dashboards without writing SQL. Supports drill-down, time-series, and geo-spatial analysis. Semantic layer: define calculated metrics and dimensions at the dataset level. Reuse across all dashboards and charts. Rich visualizations: 30+ visualization types including line charts, bar charts, scatter plots, pie charts, tables, pivot tables, heatmaps, box plots, horizon charts, deck.gl maps, sunburst, sankey, word clouds, and geographic maps. Custom visualization plugins. Dashboards: interactive dashboards with filters, cross-filtering, and drill-down. Share via URL or embed. Row-level security. Native database queries: pushes queries down to the underlying database for maximum performance. No separate extraction layer needed. Supports 30+ databases including PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, Presto, Druid, ClickHouse, SQLite, Oracle, MS SQL. Role-based access control. Caching with Redis or Memcached. Async query execution with Celery. Alerts and reports: schedule and email charts and dashboards. Python (Flask, SQLAlchemy). Apache License 2.0.